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Thermobaric Effects of Cast Composite Explosives of Different Charge Masses and Dimensions

Simić D., Andjelić U., Knežević D., Savić K., Draganić V., Sirovatka R., Tomić L.

Central European Journal of Energetic Materials

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2016

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Vol. 13, no. 1

161--182

EN

The aim of this research was to determine the thermobaric effect of cast composite explosives, with different masses and dimensions of the chosen explosive charges. This was done by measuring the shock wave parameters in air (maximum overpressure and pressure impulse) and quantifying the thermal effect (temperature-time dependence), at different distances from the centre of the detonation. The chosen thermobaric explosive composition, TBE-3, was characterized. Its density, detonation velocity and viscosity-time dependence were determined. Experimental samples of different masses and calibres were prepared. The shock wave parameters in air were determined in field tests, by measuring the overpressure by piezo-electric pressure transducers. The detonation and the expansion of the explosion products were filmed by a TV high-speed camera, Phantom V9. An infrared (IR) camera FLIR SC7200 was used for recording the IR scene of the explosions and for tracking the thermal effects by a thermographic technique, i.e. thermal imaging. This work is an initial step towards establishing a method for the quantification of the thermal effects of a thermobaric detonation.

2

Challenges for nurse rostering problem and opportunities in hospital logistics

Simić D., Simić S., Milutinović D., Djordjević J.

Journal of Medical Informatics & Technologies

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2014

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Vol. 23

195--202

EN

In the last 45 years nurse scheduling has received considerable attention in the research community. Nurse rostering can be described as a task of finding a duty roster for a set of nurses in such a way that the rosters comply with work regulations and meet the management’s requests. The objective varies from minimizing the costs of float nurses or minimizing under-staffing to maximizing the degree to which the nurses’ requests are met. In logistics, one aspect is optimization of the steady flow of materials through a network of transport links and storage nodes, and the other is, coordination of a sequence of resources, such as staffing and scheduling clinical resources. The period up to 2000 is characterized by using mathematical programming and objective functions to solve nurse rostering problem. In the period after 2000 the focus of researches aimed at solving nurse rostering and scheduling problem becomes implementation of meta-heuristics and multi-objective functions. The aim of this paper is to present the latest researches conducted in last ten years.

3

Lean RFID approach enhancing the information and material flows in emergency department

Ilin V., Simić D., Simić S.

Journal of Medical Informatics & Technologies

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2012

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Vol. 21

49--55

EN

Modern technologies and technics nowadays play a very important role in optimizing many processes. Healthcare sector is a vital system of every country and it requires great investment and constant improvement, which makes integration with modern technologies and technics inevitable. Efficiency, speed and time savings are thus crucial for achievement of this integration. Lean RFID approach is completely new way of modeling and optimizing healthcare systems. The objective of this paper is to identify, describe and analyze recent trends in merging healthcare (Emergency Department) and Lean and RFID principles into a unique system. Obtained results indicate that the application of certain segments of Lean "thinking" significantly increases the efficiency of focused processes in healthcare. The main idea of the integration of medicine and Lean RFID approach is to constantly create and improve new values and reject all the activities that are categorized as "waste" in order to provide time savings, which are extremely important in this branch.

4

Nursing logistics activities in massive services

Simić D.

Journal of Medical Informatics & Technologies

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2011

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Vol. 18

77--84

EN

Hybrid patient classification system in nursing logistics activities is discussed in this paper. Hybrid classification model is based on two of the most used competitive artificial neural network algorithms that use learning vector quantization models (LVQ) and self-organizing maps (SOM). In general, the history of patient classification in nursing dates back to the period of Florence Nightingale. The first and the foremost condition for providing quality nursing care, which is measured by care standards, and determined by number of hours of actual care, is the appropriate number of nurses. It is possible to discus three types of experimental results. First result type could be assessment for risk of falling measured by Mors scale and pressure sores risk measured by Braden scale. Both of them are assessed by LVQ. Hybrid LVQ-SOM model is used for second result type, which presents the time for nursing logistics activities. The third type is possibility to predict appropriate number of nurses for providing quality nursing care. This research was conducted on patients from Institute of Neurology, Clinical Centre of Vojvodina.